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Patent 2992840 Summary

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Claims and Abstract availability

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(12) Patent: (11) CA 2992840
(54) English Title: NULLIFYING BIOMETRICS
(54) French Title: ANNULATION DE BIOMETRIE
Status: Granted
Bibliographic Data
(51) International Patent Classification (IPC):
  • G06F 21/32 (2013.01)
(72) Inventors :
  • CARTAYA, JULIO A. (United States of America)
(73) Owners :
  • AT&T INTELLECTUAL PROPERTY I, L.P. (United States of America)
(71) Applicants :
  • AT&T INTELLECTUAL PROPERTY I, L.P. (United States of America)
(74) Agent: KIRBY EADES GALE BAKER
(74) Associate agent:
(45) Issued: 2020-06-02
(86) PCT Filing Date: 2016-08-19
(87) Open to Public Inspection: 2017-03-09
Examination requested: 2018-01-17
Availability of licence: N/A
(25) Language of filing: English

Patent Cooperation Treaty (PCT): Yes
(86) PCT Filing Number: PCT/US2016/047705
(87) International Publication Number: WO2017/040063
(85) National Entry: 2018-01-17

(30) Application Priority Data:
Application No. Country/Territory Date
14/838,656 United States of America 2015-08-28

Abstracts

English Abstract

Artificial biometric traits self-nullify due to natural physiological processes. Biometric enrollment and authentication may then be based on a life associated with the self-nullifying biometric trait. Once the life is expected to have expired, no further authentication may be performed until a new artificial biometric is applied.


French Abstract

Des traits biométriques artificiels s'auto-annulent en raison de processus physiologiques naturels. Une inscription et une authentification biométriques peuvent ensuite être basées sur une durée de vie associée au trait biométrique auto-annulé. Une fois que la durée de vie est censée avoir expiré, aucune nouvelle authentification ne peut être effectuée jusqu'à ce qu'une nouvelle biométrie artificielle soit appliquée.

Claims

Note: Claims are shown in the official language in which they were submitted.


CLAIMS
1. A system, comprising:
a processor; and
a memory device, the memory device storing instructions, the instructions when
executed causing the processor to perform operations, the operations
comprising:
receiving a digital image of a nullifying artificial biometric;
determining that the nullifying artificial biometric is associated with a self-
nullification
that occurs after an expiration of a time;
processing an authentication prior to the expiration of the time, the
authentication
based on the digital image of the nullifying artificial biometric; and
failing the authentication after the self-nullification of the nullifying
artificial
biometric at the expiration of the time.
2. The system of claim 1, wherein the operations further comprise
electronically mapping
the digital image of the nullifying artificial biometric to an alphanumeric
combination.
3. The system of claim 2, wherein the operations further comprise querying
an electronic
database for the alphanumeric combination, the electronic database
electronically associating
alphanumeric combinations and growth rates.
4. The system of claim 3, wherein the operations further comprise
identifying a growth
rate of the growth rates in the electronic database, the growth rate
electronically associated in
the electronic database with the alphanumeric combination.
5. The system of claim 4, wherein the operations further comprise
determining the
expiration of the time based on the growth rate.
6. The system of claim 3, wherein the operations further comprise
identifying a
physiological life associated with the nullifying artificial biometric that is
electronically
associated in the electronic database with the alphanumeric combination.
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7. The system of claim 2, wherein the operations further comprise
retrieving a timestamp
associated with the alphanumeric combination.
8. A method, comprising:
receiving, by a server, a digital image of a nullifying artificial biometric
for an
authentication;
determining, by the server, an enrollment profile based on the digital image
of the
nullifying artificial biometric;
retrieving, by the server, a growth rate associated with the enrollment
profile;
determining, by the server, that the nullifying artificial biometric is
associated with a
self-nullification that occurs after an expiration of a physiological life
based on the growth
rate;
processing, by the server, the authentication prior to the self-nullification
of the
nullifying artificial biometric; and
failing, by the server, the authentication after the self-nullification of the
nullifying
artificial biometric at the expiration of the physiological life.
9. The method of claim 8, further comprising electronically mapping the
digital image of
the nullifying artificial biometric to an alphanumeric combination.
10. The method of claim 9, further comprising:
querying an electronic database for the alphanumeric combination, the
electronic
database electronically associating alphanumeric combinations and growth rates
including the
growth rate associated with the enrollment profile; and
identifying the growth rate in the electronic database that is electronically
associated
with the alphanumeric combination.
11. The method of claim 8, further comprising retrieving a timestamp
associated with the
enrollment profile.
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12. The method of claim 11, further comprising determining the
physiological life
associated with the nullifying artificial biometric from the timestamp.
13. The method of claim 8, further comprising canceling the enrollment
profile after the
self-nullification of the nullifying artificial biometric.
14. The method of claim 8, further comprising sending an electronic message
prior to the
self-nullification, the electronic message notifying of the expiration of the
physiological life.
15. A memory device storing instructions that when executed cause a
processor to perform
operations, the operations comprising:
receiving a digital image of a nullifying artificial biometric submitted for
an
authentication;
determining an enrollment profile based on the digital image of the nullifying
artificial
biometric;
retrieving a growth rate associated with the enrollment profile;
calculating a physiological life associated with the nullifying artificial
biometric, the
physiological life based on the growth rate;
determining that the nullifying artificial biometric is associated with a self-
nullification
that occurs after an expiration of the physiological life based on the growth
rate;
processing the authentication prior to the self-nullification of the
nullifying artificial
biometric; and
failing the authentication after the self-nullification of the nullifying
artificial
biometric at the expiration of the physiological life.
16. The memory device of claim 15, wherein the operations further comprise
electronically mapping the digital image of the nullifying artificial
biometric to an
alphanumeric combination.

17. The memory device of claim 16, wherein the operations further comprise:
querying an electronic database for the alphanumeric combination, the
electronic
database electronically associating alphanumeric combinations and growth rates
including the
growth rate associated with the enrollment profile; and
identifying the growth rate in the electronic database that is electronically
associated
with the alphanumeric combination.
18. The memory device of claim 15, wherein the operations further comprise
retrieving a
timestamp associated with the enrollment profile.
19. The memory device of claim 18, wherein the operations further comprise
determining
the physiological life associated with the nullifying artificial biometric
from the timestamp.
20. The memory device of claim 15, wherein the operations further comprise
canceling the
enrollment profile after the self-nullification of the nullifying artificial
biometric.
26

Description

Note: Descriptions are shown in the official language in which they were submitted.


NULLIFYING BIOMETRICS
BACKGROUND
10001] Secure authentication is troublesome. Conventional passwords are easily
forgotten and
easily compromised. Biometric identifiers need not be memorized, but biometric
identifiers are
non-modifiable and permanent. Moreover, conventional biometric identifiers are
prone to
recognition failures.
SUMMARY
100021 Certain exemplary embodiments can provide a system, comprising: a
processor; and
a memory device, the memory device storing instructions, the instructions when
executed causing
the processor to perform operations, the operations comprising: receiving a
digital image of a
nullifying artificial biometric; determining that the nullifying artificial
biometric is associated
with a self-nullification that occurs after an expiration of a time;
processing an authentication prior
to the expiration of the time, the authentication based on the digital image
of the nullifying
artificial biometric; and failing the authentication after the self-
nullification of the nullifying
artificial biometric at the expiration of the time.
10002.11 Certain exemplary embodiments can provide a method, comprising:
receiving, by a
server, a digital image of a nullifying artificial biometric for an
authentication; determining, by
the server, an enrollment profile based on the digital image of the nullifying
artificial biometric;
retrieving, by the server, a growth rate associated with the enrollment
profile; determining, by the
server, that the nullifying artificial biometric is associated with a self-
nullification that occurs after
an expiration of a physiological life based on the growth rate; processing, by
the server, the
authentication prior to the self-nullification of the nullifying artificial
biometric; and failing, by
the server, the authentication after the self-nullification of the nullifying
artificial biometric at the
expiration of the physiological life.
[0002.21 Certain exemplary embodiments can provide a memory device storing
instructions that
when executed cause a processor to perform operations, the operations
comprising: receiving a
digital image of a nullifying artificial biometric submitted for an
authentication; determining an
enrollment profile based on the digital image of the nullifying artificial
biometric; retrieving a
growth rate associated with the enrollment profile; calculating a
physiological life associated with
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the nullifying artificial biometric, the physiological life based on the
growth rate; determining that
the nullifying artificial biometric is associated with a self-nullification
that occurs after an
expiration of the physiological life based on the growth rate;
processing the authentication prior to the self-nullification of the
nullifying artificial biometric;
and failing the authentication after the self-nullification of the nullifying
artificial biometric at the
expiration of the physiological life.
BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWINGS
[0003] The features, aspects, and advantages of the exemplary embodiments are
understood
when the following Detailed Description is read with reference to the
accompanying drawings,
wherein:
FIGS. 1-6 are illustrations of a nullifying biometric, according to exemplary
embodiments;
FIGS. 7-8 are detailed illustrations of an operating environment, according to
exemplary
embodiments;
FIGS. 9-10 illustrate automatic expiration of enrollment, according to
exemplary
embodiments;
FIG. 11 further illustrates the enrollment database, according to exemplary
embodiments;
FIG. 12 illustrates an electronic database of growth rates, according to
exemplary
embodiments;
La
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FIGS. 13-14 illustrate a client-server environment according to exemplary
embodiments;
FIGS. 15-16 illustrate personalizations, according to exemplary embodiments;
FIG. 17 illustrates transaction-based cancelations, according to exemplary
embodiments;
FIG. 18 illustrates notifications of expiration, according to exemplary
embodiments;
FIGS. 19-20 are flowcharts illustrating methods for enrolling and
authenticating the
nullifying biometric, according to exemplary embodiments; and
FIGS. 21-26 depict still more operating environments for additional aspects of
the
exemplary embodiments.
DETAILED DESCRIPTION
[0004] The exemplary embodiments will now be described more fully
hereinafter with
reference to the accompanying drawings. The exemplary embodiments may,
however, be
embodied in many different forms and should not be construed as limited to the
embodiments
set forth herein. These embodiments are provided so that this disclosure will
be thorough and
complete and will fully convey the exemplary embodiments to those of ordinary
skill in the
art. Moreover, all statements herein reciting embodiments, as well as specific
examples
thereof, are intended to encompass both structural and functional equivalents
thereof.
Additionally, it is intended that such equivalents include both currently
known equivalents as
well as equivalents developed in the future (i.e., any elements developed that
perform the same
function, regardless of structure).
[0005] Thus, for example, it will be appreciated by those of ordinary skill in
the art that the
diagrams, schematics, illustrations, and the like represent conceptual views
or processes
illustrating the exemplary embodiments. The functions of the various elements
shown in the
figures may be provided through the use of dedicated hardware as well as
hardware capable of
executing associated software. Those of ordinary skill in the art further
understand that the
exemplary hardware, software, processes, methods, and/or operating systems
described herein
are for illustrative purposes and, thus, are not intended to be limited to any
particular named
manufacturer.
[0006] As used herein, the singular forms "a," "an," and "the" are intended to
include the
plural forms as well, unless expressly stated otherwise. It will be further
understood that the
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terms "includes," "comprises," "including," and/or "comprising," when used in
this
specification, specify the presence of stated features, integers, steps,
operations, elements,
and/or components, but do not preclude the presence or addition of one or more
other features,
integers, steps, operations, elements, components, and/or groups thereof. It
will be understood
that when an element is referred to as being "connected" or "coupled" to
another element, it
can be directly connected or coupled to the other element or intervening
elements may be
present. Furthermore, "connected" or "coupled" as used herein may include
wirelessly
connected or coupled. As used herein, the term "and/or" includes any and all
combinations of
one or more of the associated listed items.
[0007] It will also be understood that, although the terms first, second,
etc. may be used
herein to describe various elements, these elements should not be limited by
these terms. These
terms are only used to distinguish one element from another. For example, a
first device could
be termed a second device, and, similarly, a second device could be termed a
first device
without departing from the teachings of the disclosure.
[0008] FIGS. 1-2 are illustrations of a nullifying biometric 20, according
to exemplary
embodiments. The nullifying biometric 20 is an artificial biometric trait that
nullifies over time
as a consequence of natural physiological processes in the human body. FIG. 1,
for example,
illustrates a nail plate 22 covering a tip 24 of a finger 26 of a human hand
28. The nail plate
22 is commonly known as the fingernail 30. As FIG. 2 better illustrates, a
marking 32 is
engraved into, or applied onto, an upper or outer surface 34 of the nail plate
22. The marking
32 is illustrated as a barcode 36 that may be scanned and/or machine read (as
later paragraphs
will explain) to uniquely confirm an identity of a user.
[0009] The nullifying biometric 20 is ephemeral. As the nail plate 22
physiologically grows,
the marking 32 naturally moves toward the tip 24 of the finger 26. Eventually
the marking 32
moves to a distal end and is cut or trimmed away. Research shows that an
epidermis of the
nail plate 22 has an average growth rate 40 of about three millimeters (3mm)
in length per
month, depending on many factors (e.g., age, sex, season, exercise level, and
diet). Within
weeks or a few months, then, the nail plate 22 is trimmed in length. The
marking 32 is thus
eventually mutilated, destroyed, or discarded in time.
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[0010] The nullifying biometric 20 may thus be a temporary body modification.
The marking
32 combines the best features of both passwords and biometrics. Passwords are
easy to
generate, easy to enroll, easy to verify, and easy to cancel. Biometrics are
very easy to use and
do not require memorization. The nullifying biometric 20 thus combines these
features to
create a body modification that is easily interpreted as a symbol (thus
avoiding recognition
failures) and that does not require memorization. Moreover, the nullifying
biometric 20
disappears by itself as a consequence of natural physiological processes. The
nullifying
biometric 20, in other words, will cancel itself with human physiological
growth. Exemplary
embodiments thus overcome the permanence issues with conventional biometrics
and yet still
prove secure enough to replace passwords.
[0011] The nullifying biometric 20 is subtle. When the marking 32 is
engraved into, or
adhered to, the nail plate 22, the nullifying biometric 20 is nearly
unnoticeable. The nullifying
biometric 20 has little or no effect on clothing, cosmetics, and movement.
Indeed, the marking
32 may even be painted (similar to nail polish coatings), as long as the
marking 32 is still
machine discernable. The nullifying biometric 20 is simply unobtrusive with
fashion and
athletics.
[0012] The nullifying biometric 20 is preferably symbolic. FIG. 2 illustrates
the marking 32
as the symbolic barcode 36 that may be uniquely associated with the
authenticating user. The
marking 32, however, may be a quick response ("QR") code or any other machine-
readable
symbol or pattern that is optically associated with an enrolling user (e.g.,
an "enrollee"). When
the enrollee places her finger 26 into or onto an imaging device, an image or
scan of the
marking 32 may be captured, interpreted, and associated with the enrollee. The
nullifying
biometric 20 may thus be a symbolic pattern that is authenticated with less
noise and distortion.
As the reader may understand, conventional biometric authentication schemes
are essentially
analog and must be measured and quantized into discrete values before being
processed by any
cryptographic function. Measurement errors are common, and even minor changes
at an input
of a cryptographic function are amplified. Hence, the comparison of measured
data with
reference data cannot be executed in the encrypted domain without prior
precautions to contain
the effect of noise. Conventional biometric authentication schemes must
therefore constantly
balance error rates due to false acceptances and false rejections. Exemplary
embodiments,
instead, use the machine-readable marking 32 that reduces error rates.
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[0013] FIG. 3 further illustrates the nullifying biometric 20, according to
exemplary
embodiments. Here the nullifying biometric 20 is illustrated as the marking 32
carved into a
fingerprint 50. FIG. 3 is an enlarged illustration for clarity of features. As
the reader
understands, the human finger (illustrated as reference numeral 26 in FIGS. 1-
2) has an area of
epidermal ridges commonly referred to as the fingerprint 50. Even though the
fingerprint 50
is unique to the enrolling/authenticating individual, fingerprint recognition
is difficult and
prone to failure. Here, though, the fingerprint 50 may be augmented with the
marking 32. The
marking 32 is illustrated as a quick response ("QR") code 52 that is applied
to or overlaid onto
the fingerprint 50. For example, the QR code 52 may be applied using laser
emission.
However, the QR code 52 may also be painted onto or adhesively applied to the
fingerprint 50.
Regardless, the marking 32 may be any machine-readable pattern that is
combined with the
fingerprint 50.
[0014] Again, the nullifying biometric 20 is ephemeral. Laser emission heats
and destroys
cellular layers of the epidermis of the skin. As the skin physiologically
repairs and heals, the
marking 32 will thus gradually disappear as new skin cells replace destroyed
skin cells. The
nullifying biometric 20, in other words, will naturally cancel as new skin
cells are generated.
In time, then, the marking 32 self-erases or fades according to a cellular
growth rate 40.
Because the nullifying biometric 20 is transient, the nullifying biometric 20
is again a
temporary body modification. The nullifying biometric 20 is easy to use, does
not require
memorization, and is machine-readable. However, the nullifying biometric 20 is
only
temporary and naturally cancels itself in time. Again, then, the nullifying
biometric 20
combines the best features of both passwords and biometrics.
[0015] Exemplary embodiments may thus be multimodal. Unimodal biometrics uses
a single
biometric indicator (such as the fingerprint 50) to authenticate the user.
However, unimodal
biometric authentication is easy to spoof. Here, though, exemplary embodiments
create a
multimodal scheme that only uses a single biometric input source. The QR code
52 laser carved
into the fingerprint 50 forms a composite biometric indicator 54. A single
optical scan or image
of the composite biometric indicator 54 may yield two (2) different biometric
traits. That is,
enrollment and authentication may independently and separately analyze the
visible fingerprint
50 and the QR code 52. However, exemplary embodiments may instead analyze the
composite
biometric indicator 54 Regardless, exemplary embodiments may fuse the two (2)
different
biometric traits to verify an identity of the user.
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[0016] FIG. 4 is yet another illustration of the nullifying biometric 20,
according to exemplary
embodiments. Here the nullifying biometric 20 is illustrated as a superficial
tattoo 60 applied
to the human hand 28. The nullifying biometric 20 may again be heat carved
into the hand 28
using laser emission. FIG. 4 illustrates the nullifying biometric 20 as a
machine-readable
pattern 62. As the skin of the hand 28 physiologically repairs and heals, the
pattern 62 will
thus gradually disappear as new skin cells replace destroyed skin cells.
Again, then, the
nullifying biometric 20 naturally cancels as new skin cells are generated
according to the
cellular growth rate 40. The nullifying biometric 20 is again a temporary body
modification
that self-erases or fades, eventually becoming unreadable. The nullifying
biometric 20 is easy
to use and does not require memorization, but is only temporary and naturally
cancels itself in
time. Again, then, the nullifying biometric 20 combines the best features of
both passwords
and biometrics.
[0017] The nullifying biometric 20 may have a pigment. Different wavelengths
of the laser
emission may cause cellular melanin to produce different cellular pigments.
That is, the laser
emission may cause damaged cells to change their pigment. The nullifying
biometric 20 may
thus have an initial cellular pigmentation that only reflects light of
particular
colors/wavelengths. For example, a wavelength of the excitation laser emission
may thus be
chosen such that the cellular melanin only reflects ultraviolet light. The
laser emission,
however, may be chosen to ensure the nullifying biometric 20 is only machine
readable, and/or
humanly visible, at chosen wavelengths of incident light. As the skin
physiologically renews,
the nullifying biometric 20 will thus gradually disappear due to healing
processes.
[0018] FIGS. 5-6 further illustrate the nullifying biometric 20, according
to exemplary
embodiments. Here the nullifying biometric 20 is illustrated as a symbol 70
that is chemically
dyed onto the enrollee's hair 72. The nullifying biometric 20 may again be
machine-readable
for biometric enrollment and verification/authorization. However, as the hair
filaments
physiologically grow, the symbol 70 will gradually move and distort. Indeed,
in time most
enrollees will trim or cut their hair 72, thus eventually discarding or
destroying the symbol 70.
Research shows that the hair 72 has an average growth rate 40 of about 1.25
centimeters in
length per month. Within a few months or so, most people will have their hair
72 trimmed in
length The nullifying biometric 20 is thus eventually mutilated, destroyed, or
discarded in
time.
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[0019] As FIG. 6 illustrates, the nullifying biometric 20 may also degrade
with time. As the
reader may understand, not all hair filaments grow at the same rate. Some hair
filaments grow
faster, while some hair filaments are dormant. Research has shown that the
hair 72 has different
stages of growth, and the individual hair filaments may have different stages.
So, even if the
hair 72 grows in length without trim, the symbol 70 may still become
unreadable. That is, as
the hair filaments grow in different stages, the symbol 70 will naturally
distort overtime. Some
filaments will grow in length, while other filaments are stagnant and do not
grow. Over time,
then, different portions of the symbol 70 may move and even elongate, thus
mutating the
symbol 70. The nullifying biometric 20 may thus naturally move and change with
the hair
growth rate 40, eventually becoming unverifiable with the user.
[0020] The nullifying biometric 20 is thus the temporary body modification. As
the hair 72
grows, most people will cut away the chemically-dyed nullifying biometric 20.
Even if the
hair 72 is permitted to grow, the nullifying biometric 20 will naturally move,
distort, and mutate
to a point of verification failure. That is, the symbol 70 will change with
time, eventually no
longer being readable or associable with the enrolled user. The nullifying
biometric 20 thus
again self-nullifies due to human physiological processes. The nullifying
biometric 20 is easy
to use and does not require memorization, but is only temporary and naturally
cancels itself in
time. Again, then, the nullifying biometric 20 combines the best features of
both passwords
and biometrics.
[0021] Exemplary embodiments thus present a secure authentication
alternative. The
nullifying biometric 20 is a synthetic or artificial biometric trait that is
still easy to use and
overcomes the permanence of conventional biometric traits. The body marking 32
is
ephemeral, faint, and naturally fades or disappears due to normal human
physiological
processes. The nullifying biometric 20 may be subtle, inconspicuous, and
confidential, thus
reducing nefarious capture and use by threat or force. Its physiological
duration is
comparatively very short, especially compared with the permanence of
traditional biometric
traits. Users are thus unafraid of embracing the nullifying biometric 20 and
unafraid of being
"branded."
[0022] The nullifying biometric 20 thus voids with time. Conventional
biometric traits (such
as the fingerprint 50 and iris patterns) are permanent. Here, though, the
nullifying biometric
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20 revokes itself or self-nullifies in a relatively short amount of time.
Natural physiological
processes (whether healing or growth) may cause the nullifying biometric 20 to
distort, to fade
away, to change its position on the human body, and/or to be discarded.
[0023] FIGS. 7-8 are detailed illustrations of an operating environment,
according to
exemplary embodiments. FIG. 7 illustrates a computer server 80 that manages
enrollment
associated with the nullifying biometric 20. Biometric enrollment is generally
known, so this
disclosure need not dwell on the known aspects. In general, though, the
nullifying biometric
20 is sensed by some sensing device 82. For simplicity this disclosure will
assume a digital
camera 84 captures a digital enrollment image 86 of the nullifying biometric
20. The digital
camera 84 is illustrated as remotely located, so the digital image 86 is sent
via a
communications network 88 to the network address associated with the server
80. The digital
camera 84, however, may be directly connected to, or even a component of, the
server 80.
Regardless, the server 80 may have a processor 90 (e.g.," g"), application
specific integrated
circuit (ASIC), or other component that executes an algorithm 92 stored in a
local memory 94.
The algorithm 92 includes instructions, code, and/or programs that analyze the
enrollment
image 86 to recognize the nullifying biometric 20. Recall that the nullifying
biometric 20 is
machine readable, so the algorithm 92 may instruct the processor 90 perform an
image analysis
to recognize the nullifying biometric 20 described or contained within the
digital enrollment
image 86. The processor 90, for example, may map or translate the enrollment
image 86 of
the nullifying biometric 20 into a unique alphanumeric combination 96 (such as
an electronic
text string or message, which is well known and need not be discussed).
[0024] An enrollment database 100 is then consulted. Once the nullifying
biometric 20 is
recognized, the algorithm 92 instructs the processor 90 to add one or more
database entries to
the enrollment database 100. The enrollment database 100 stores or contains
electronic
database associations between different enrollment profiles 102 and their
corresponding
biometric traits 104. Each enrollment profile 102 is uniquely identified by
the corresponding
alphanumeric combination 96 that maps to the enrollment image 86 of the
nullifying biometric
20 of the enrollee. Here, then, exemplary embodiments may store one or more
electronic
database associations between the alphanumeric combination 96 and the
nullifying biometric
20 recognized in the digital enrollment image 86. The enrollment profile 102
may thus be
used as a template 104 for authentication and verification processes.
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[0025] FIG. 8 illustrates authentication. When verification of an identity is
needed, the digital
camera 84 captures an authentication image 110 of the credentials submitted by
the
authenticating user. Authentication is well known and need not be described in
detail. The
authentication image 110 is sent via the communications network 88 to the
network address
associated with the server 80. The server 80 executes the algorithm 92 and
performs an image
analysis of the authentication image 110. The authentication image 110 may be
translated or
mapped into a character string 112 and compared to the entries in the
enrollment database 100.
If the credentials submitted by the authenticating user match the biometric
template 104, then
the claimed identity of the authenticating user is confirmed or authenticated.
In other words,
the nullifying biometric 20 described in the authentication image 86
sufficiently or exactly
translates to the alphanumeric combination 96.
[0026] Exemplary embodiments may be applied regardless of networking
environment.
Exemplary embodiments may be easily adapted to stationary or mobile devices
having cellular,
wireless fidelity (WI-FT ), near field, and/or BLUETOOTH''') capability.
Exemplary
embodiments may be applied to mobile devices utilizing any portion of the
electromagnetic
spectrum and any signaling standard (such as the IEEE 802 family of standards,

GSM/CDMA/TDMA or any cellular standard, and/or the ISM band). Exemplary
embodiments, however, may be applied to any processor-controlled device
operating in the
radio-frequency domain and/or the Internet Protocol (IP) domain. Exemplary
embodiments
may be applied to any processor-controlled device utilizing a distributed
computing network,
such as the Internet (sometimes alternatively known as the "World Wide Web"),
an intranet, a
local-area network (LAN), and/or a wide-area network (WAN). Exemplary
embodiments may
be applied to any processor-controlled device utilizing power line
technologies, in which
signals are communicated via electrical wiring. Indeed, exemplary embodiments
may be
applied regardless of physical componentry, physical configuration, or
communications
standard(s).
[0027] Exemplary embodiments may utilize any processing component,
configuration, or
system. Any processor could be multiple processors, which could include
distributed
processors or parallel processors in a single machine or multiple machines.
The processor can
be used in supporting a virtual processing environment. The processor could
include a state
machine, application specific integrated circuit (ASIC), programmable gate
array (PGA)
including a Field PGA, or state machine. When any of the processors execute
instructions to
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perform "operations", this could include the processor performing the
operations directly
and/or facilitating, directing, or cooperating with another device or
component to perform the
operations.
[0028] FIGS. 9-10 illustrate automatic expiration of enrollment, according
to exemplary
embodiments. Here exemplary embodiments may automatically decline any
authentication,
based on a stale nullifying biometric 20. FIG. 9, for example, illustrates
rule-based expirations
based on a timestamp 120 associated with the enrollment image 86 of the
nullifying biometric
20. The timestamp 120 may be added or determined by the camera 84 generating
the
enrollment image 86. However, the timestamp 120 may additionally or
alternatively be added
or determined by the server 80 (such as a date and time of receipt).
Regardless, the timestamp
120 marks or defines a beginning of a life 122 associated with the nullifying
biometric 20.
That is, the enrollment image 86 of the nullifying biometric 20 will only be
verifiable or
authenticatable during the life 122 that coincides with the natural
physiological process
associated with the nullifying biometric 20. The life 122, in other words,
will have an
expiration time 124 that coincides with a nullification 126 of the nullifying
biometric 20. FIG.
9 illustrates the electronic enrollment database 100 as being locally stored
in the server 80, but
some or all of the database entries may be remotely maintained at some other
server, device,
or location in the communications network 88.
[0029] FIG. 10 illustrates electronic database operations. The electronic
enrollment database
100 is illustrated as a table 130 that electronically maps, relates, or
associates different
alphanumeric combinations 96 to different biometric templates 104. For
example, an entry
may associate the alphanumeric combination 96 to the enrollee's name 132 and
address 134.
Moreover, the enrollee's template 104 may further include a pointer or
filename associated
with the enrollment image 86. Exemplary embodiments, in simple words, define
electronic
database associations between different users and their biometric templates
104 describing
their respective nullifying biometrics 20. While FIG. 10 only illustrates a
few entries, in
practice the enrollment database 100 may contain hundreds, thousands, or even
millions of
entries for a large number of enrolled users. The server 80 may thus query the
enrollment
database 100 for any query term (such as the alphanumeric combination 96) and
one or more
of the corresponding entries.
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[0030] Biometric enrollment, though, may automatically expire. Exemplary
embodiments
may automatically cancel or expire any entry in the enrollment database 100.
Recall that the
nullifying biometric 20 is only a temporary body modification that may
disappear or degrade
over time. The nullifying biometric 20, in other words, naturally cancels with
human
physiological growth. At some time, then, a corresponding entry in the
enrollment database
100 should expire. After all, if nullifying biometric 20 self-nullifies, the
corresponding entry
in the enrollment database 100 should no longer be used for authentication.
Once the nullifying
biometric 20 invalidates itself, any future use of that same nullifying
biometric 20 should be
rej ected.
[0031] Exemplary embodiments may thus include the expiration time 124. When
the
nullifying biometric 20 is initially enrolled in the enrollment database 100,
the algorithm 92
may add or store the corresponding timestamp 120. The algorithm 92 may also
add an entry
describing the corresponding growth rate 40 associated with the nullifying
biometric 20. As
time passes, the nullifying biometric 20 will have naturally self-canceled,
according to the
corresponding growth rate 40. The algorithm 92 may thus execute rules or logic
that
determines or calculates the life 122 of the physical nullifying biometric 20.
The life 122 is
thus a time during which the template 104 may be used for authentication or
verification
purposes. At or after the expiration time 124, the algorithm 92 may be
prevented from using
authenticating the nullifying biometric 20.
[0032] Examples help explain the expiration time 124. Recall the nail plate
(illustrated as
reference numeral 22 in FIGS. 1-2) has an average growth rate 40 of about
three millimeters
(3mm) per month. The algorithm 92 may assume that most people will trim their
nails after
five millimeters (5mm) of natural growth. The life 122 may thus be determined
from
5mm
3mmi ¨ 1.67 months.
/month
The expiration time 124 is thus less than two (2) months, meaning the
nullifying biometric 20
will have safely self-canceled two months from the timestamp 120 at initial
enrollment. The
algorithm 92 may thus add the life 122 to the initial timestamp 120 to
determine the expiration
time 124. Whenever the algorithm 92 performs an authentication or verification
using the
nullifying biometric 20, the algorithm 92 may retrieve the current date and
time and compare
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to the expiration time 124. If the current date and time is before the
expiration time 124, then
the algorithm 92 is permitted to authenticate the corresponding nullifying
biometric 20 (e.g.,
the corresponding alphanumeric combination 96). However, if the current date
and time is
equal to or after the expiration time 124, then the algorithm 92 may not be
permitted to
authenticate the nullifying biometric 20. Authentication, in other words, may
fail merely based
on the passage of time from the timestamp 120 of initial enrollment. Exemplary
embodiments
may thus reject further use of the nullifying biometric 20 after the
expiration time 124.
[00331 Another example helps explain the expiration time 124. Recall the QR
code 52 laser
engraved into the fingerprint 50 may heal at the cellular growth rate 40 (as
FIG. 3 illustrated).
Assume the QR code 52 is a two dimensional micro-square having dimensions of
3mm by
3mm (or 9mm2). Also assume the cellular growth rate 40 is 0.14mm per day. The
life 122
may thus be determined from
9m.m2
¨ 64.29 days.
0.14mm2/clay
The expiration time 124 is thus less than sixty five (65) days, meaning the
nullifying biometric
20 will have safely self-canceled slightly over two months from the timestamp
120 at initial
enrollment. If the current time is before the expiration time 124, the
algorithm 92 is permitted
to authenticate the corresponding nullifying biometric 20 (e.g., the
corresponding
alphanumeric combination 96). However, if the current time is equal to or
after the expiration
time 124, then the algorithm 92 may not be permitted to authenticate the
nullifying biometric
20, based merely on the passage of time from the initial timestamp 120.
[00341 The human hair 72 provides another example. This disclosure previously
explained
how the nullifying biometric 20 may be chemically dyed onto the hair 72 of the
human head
xx (as FIGS. 5-6 illustrated). As the hair 72 filaments physiologically grow,
the nullifying
biometric 20 will thus gradually move and be cut or trimmed away. Research
shows that the
hair 72 has an average growth rate 40 of about 1.25 centimeters in length per
month.
Exemplary embodiments may assume that most people will trim their hair after
three
centimeters (3cm) of natural growth. The life 122 may thus be determined from
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3cm
1.25cmi _________________________ ¨ 2.4 months
/month
The expiration time 124 is thus less than three (3) months, implying the
nullifying biometric
20 should naturally self-cancel slightly over two months from the timestamp
120 at initial
enrollment. If the current date and time predates the expiration time 124, the
algorithm 92 is
permitted to authenticate the corresponding nullifying biometric 20 (e.g., the
corresponding
alphanumeric combination 96). However, if the current date and time antedates
the expiration
time 124, then the algorithm 92 may not be permitted to authenticate the
nullifying biometric
20, based merely on the passage of time from the initial timestamp 120.
[0035] Biometric authentication may thus be declined based on time.
Conventional biometric
traits are permanent and do not cancel. Here, though, the nullifying biometric
20 self-nullifies
in a relatively short amount of time. As natural physiological processes
(whether healing or
growth) occur, the nullifying biometric 20 will distort, fade away, and/or be
discarded. The
enrolling user may then have a new nullifying biometric 20 applied for another
short-term
interval of use. As a further precaution, though, exemplary embodiments may
automatically
cancel or expire any entry in the enrollment database 100. If authentication
is attempted with
a stale nullifying biometric 20 (as deteitnined or measured from the initial
timestamp 120),
exemplary embodiments may automatically fail the attempted authentication.
Once the
expiration time 124 elapses, exemplary embodiments thus thwart any nefarious
activity.
[0036] Exemplary embodiments may also configure a timer 136. Once the life
122 is
determined, the algorithm 92 may initialize or start the timer 136. The timer
136 may
increment or count from the initial timestamp 120 to the value associated with
the life 122.
The timer 136, in other words, may start count up from the value of the
initial timestamp 120.
The timer 136 counts to a final value that equals the timestamp 120 plus the
life 122. Once life
122 expires, no further authentications may be attempted using the same
nullifying biometric
20.
[0037] FIG. 11 further illustrates the enrollment database 100, according
to exemplary
embodiments. Here the enrollment database 100 may further include entries for
a body
location 140 of the corresponding nullifying biometric 20. When the nullifying
biometric 20
is applied to the user's body, an electronic database entry may be added to
describe the body
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location 140 (such as the nail plate 22 or the fingernail 30, as illustrated
with reference to FIGS.
1-2). The entry may include a textual description 142 describing the body
location 140. The
enrollment database 100 may thus include or define electronic database
associations between
the alphanumeric combination 96 identifying the nullifying biometric 20, the
timestamp 120,
the growth rate 40, and the expiration time 124.
[00381 FIG. 12 illustrates an electronic database 150 of growth rates,
according to exemplary
embodiments. As the above paragraph explained, the nullifying biometric 20 may
be added to
or applied to any portion of the human or animal body. Each different body
part or area,
though, may have a different growth rate 40. Whenever the nullifying biometric
20 is applied
to any enrolling user's body, exemplary embodiments may thus consult the
electronic database
150 of growth rates for the corresponding growth rate 40. FIG. 12 thus
illustrates the electronic
database 150 of growth rates as a table 152 that electronically maps, relates,
or associates
different body locations 140 to different growth rates 40. Once the body
location 140 is added
to the enrollment database 100 (as explained with reference to FIG. 11),
exemplary
embodiments may query the electronic database 150 of growth rates for the body
location 140
(such as the textual description 142) and retrieve the corresponding growth
rate 40. Exemplary
embodiments may then copy the entry describing the corresponding growth rate
40 into the
corresponding entry in the enrollment database 100. Exemplary embodiments, in
other words,
may populate the enrollment database 100 with the growth rate 40 retrieved
from the electronic
database 150 of growth rates. FIG. 12 illustrates the electronic enrollment
database 100 as
being locally stored in the server 80, but some or all of the database entries
may be remotely
maintained at some other server, device, or location in the communications
network (illustrated
as reference numeral 88 in FIGS. 7-9). While FIG. 12 only illustrates a few
entries, in practice
the enrollment database 100 may contain many entries detailing the growth
rates 40 for many
different body locations.
[00391 FIGS. 13-14 illustrate a client-server environment, according to
exemplary
embodiments. Here the enrollment database 100 may be accessed by a client
device 160 via
the communications network 88. Suppose, for example, the nullifying biometric
20 is applied
by a licensed/registered provider (an "enroller"). The provider uses the
client device 160 to
enroll the nullifying biometric 20 into the enrollment database 100. The
client device 160 may
store and execute a client-side algorithm 162 that cooperates with the
algorithm 92 executed
by the server 80. The client device 160 may thus capture and send the
enrollment image 86 to
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the network address associated with the server 80. However, the client device
160 may
additionally or alternatively send the alphanumeric combination 96 that
represents the enrolling
nullifying biometric 20. Regardless, the client device 160 may also send
enrollment
information 164, such as the enrollee's name 132, address 134, and the body
location 140 of
the nullifying biometric 20. When the server 80 receives the enrollment image
86, the
alphanumeric combination 96, and/or the enrollment information 164, the
algorithm 92
instructs the server 80 to populate the enrollment database 100. Exemplary
embodiments, in
simple words, permit the licensed/registered provider to enroll the nullifying
biometric 20 on
behalf of the enrolling user. The enrollment image 86, the alphanumeric
combination 96,
and/or the enrollment information 164 may be sent and received as packets of
data according
to a packet protocol (such as any of the Internet Protocols). The packets of
data contain bits or
bytes of data describing the contents, or payload, of a message. A header of
each packet of
data may contain routing information identifying an origination address and/or
a destination
address.
[0040] FIG. 14 illustrates a graphical user interface 170. Here the client-
side algorithm 162
may cause the client device 160 to generate the graphical user interface
("GUI") 170. FIG. 14,
for simplicity, illustrates the client device 160 as a tablet computer 172.
The client device 160,
though, may be any processor-controlled device, as later paragraphs will
explain. The table
computer 172 generates the graphical user interface 170 for visual display on
a display device
174 (such as a touch screen display common on many mobile devices). The
graphical user
interface 170 has various fields for entering or inputting the enrollment
information 164. The
graphical user interface 170, in particular, has a data field 176 for
specifying the body location
140 of the nullifying biometric 20. FIG. 14, for example, illustrates a menu
178 of body
locations from which the provider may select. The menu 178 of body locations
presents a
listing of different textual descriptions of different body parts. The
provider highlights and
selects the correct body location 140 (perhaps using a tactile selection or
input). The menu 178
of body locations may thus be prepopulated with predefined or approved body
locations 140.
[0041] FIGS. 15-16 illustrate personalizations, according to exemplary
embodiments. Here
exemplary embodiments may allow the enrolling user (or "enrollee") to
personalize
authentication. As the reader may understand, different users may have
different requirements
and needs. Some users, for example, may let their fingernails grow, thus
extending a time of
usage for their corresponding nullifying biometric 20. Some users may have a
slower growth
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rate 40, while other users may have a faster growth rate 40. Here, then,
exemplary
embodiments may allow the enrollee to self-configure the automatic expiration
associated with
her nullifying biometric 20.
[0042] FIG. 15 illustrates a mobile smartphone 180. The enrollee may use
her mobile
smartphone 180 to customize or configure her enrollment profile stored in the
enrollment
database (illustrated as reference numeral 100 in FIGS. 7-11). Suppose the
enrollee uses the
smartphone 180 to download a software application 182 that interfaces with the
server 80 via
the communications network 88 (again as FIGS. 7-9 illustrate). The software
application 182
is stored in a memory of the smartphone 180, and a processor executes the
software application
182. The software application 182 generates a personalization interface 184
that is displayed
by the mobile smartphone 180 (such as by a touch screen 186). The
personalization interface
184 allows the enrollee to change some or any database entries in the
enrollment database 100.
For example, the enrollee may personalize the growth rate 40 associated with
the body location
140 associated with her nullifying biometric 20. The enrollee may place a
cursor into a data
field 188 and enter text and/or numerals that define her desired growth rate
40. The enrollee
may thus shorten, or extend, the authentication life 122 (e.g., the expiration
time 124) of her
nullifying biometric 20 merely by adjusting the growth rate 40.
[0043] The personalization interface 184 may also include a cancelation
control 190. Here
the enrollee may simply graphically or tactilely select the cancelation
control 190 to
immediately, or nearly immediately, cancel the corresponding enrollment of her
nullifying
biometric 20. Suppose, for example, the enrollee trims her nail plate 22 or
cuts her hair 72
(explained with reference to FIGS. 1 and 5-6). The enrollee may thus use her
smartphone 180
to cancel her enrollment, thus preventing rogue authorization.
[0044] FIG. 16 illustrates a cancelation message 192. When the user selects
the cancelation
control 190, and electronic cancelation message 192 is generated and sent to
the network
address associated with the server 80. The cancelation message 192 includes
information that
identifies the unique alphanumeric combination 96 associated with the
enrollee's entries in the
enrollment database 100. When the server 80 receives the cancelation message
192, the
algorithm 92 obtains the alphanumeric combination 96 and queries the
enrollment database
100. The algorithm 92 then automatically expires the life 122 associated with
the enrollee's
nullifying biometric 20. The cancelation message 192 thus instructs or causes
a nearly
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immediate termination of any authentications using the nullifying biometric
20. Biometric
authentication and verification are thus unavailable for that user until a new
nullifying
biometric 20 is applied to the body.
[0045] FIG. 17 illustrates transaction-based cancelations, according to
exemplary
embodiments. Here exemplary embodiments may cancel enrollments, based on
predefined
transactions. Suppose, for example, the enrollee has her hair cut at a hair
salon. If she uses
her smartphone 180 to conduct an electronic payment transaction 200, exemplary
embodiments
may automatically notify and update the enrollment database 100. When the
software
application 182 detects or is notified of the electronic payment transaction
200, the software
application 182 may cause the smartphone 180 to generate and send the
cancelation message
192. The cancelation message 192 routes to the network address associated with
the server 80.
When the server 80 receives the cancelation message 192, the algorithm 92
obtains the
alphanumeric combination 96 and automatically expires the corresponding life
122. The
cancelation message 192 thus instructs or causes a nearly immediate
cancelation or deletion of
the corresponding enrollment in the enrollment database 100. Because the
enrollee has had
her hair cut, further biometric authentication and verification are
unavailable until a new
enrollment process is completed.
[0046] Other security precautions may be implemented. Some users may not want
their
unique alphanumeric combination 96 stored by or known to their smartphone 180.
After all,
if the smartphone 180 is stolen or compromised, the alphanumeric combination
96 could be
used to quickly authenticate many financial transactions. Exemplary
embodiments, then, may
alternatively use a telephone number, cellular identifier, and/or IP address
to determine the
corresponding enrollment profile in the enrollment database 100. For example,
the enrollee's
profile may be electronically associated with her telephone number, cellular
identifier, and/or
IP address associated with her smartphone 180. The software application 182
may thus be
configured to recognize the electronic payment transaction 200 associated with
a service
provider, such as a unique identifier 202 associated with the hair salon. The
unique identifier
202 may be a textual name, but more likely the identifier 202 is a unique
alphanumeric
character string defined in the electronic payment transaction 200. When the
electronic
payment transaction 200 includes or specifies the unique identifier 202, the
software
application 182 alerts the enrollment database 100 to cancel the enrollee's
corresponding
enrollment.
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[0047] Exemplary embodiments may thus automatically cancel based on
services. The
enrollee may personalize her enrollment with services or service providers,
such as nail salons,
hair salons, and dermatological skin centers. The software application 182 may
monitor
electronic payment transactions 200 for these providers. When the
corresponding unique
identifier 202 is determined, exemplary embodiments may be configured to
assume the
nullifying biometric 20 has been discarded, mutilated, painted over, or
otherwise manually
destroyed. The software application 182 may thus instruct the algorithm 92 to
fail further
authentications involving that same nullifying biometric 20.
[0048] Exemplary embodiments may also use location data. As the enrollee
carries her
smartphone 180, exemplary embodiments may receive or determine a geographic
location 204.
The smartphone 180, for example, may acquire global positioning system ("GPS")
information
using a GPS receiver. Exemplary embodiments may thus use the GPS information
to
determine the smartphone 180 is currently located in a location known to be an
authorized
service provider (again, such as nail salons, hair salons, and dermatological
skin centers). The
software application 182 may monitor the smartphone's geographic location 204
and assume
the nullifying biometric 20 needs cancelation when the current location
matches a known
provider's location. The software application 182 may thus instruct the
algorithm 92 to fail
further authentications involving that same nullifying biometric 20.
[0049] FIG. 18 illustrates notifications of expiration, according to exemplary
embodiments.
Here exemplary embodiments may electronically notify the enrollee of a pending
expiration.
Suppose, for example, the algorithm 92 determines that only five (5) days
remain before the
expiration time 124 associated with the enrollee's nullifying biometric 20.
The algorithm 92
may thus be configured to generate and send an electronic message 210. The
electronic
message 210 may be an SMS text message, email, website posting, telephone
call, or any other
electronic notification. FIG. 18 illustrates the electronic message 210
routing to the network
address associated with the enrollee's smartphone 180. The electronic message
210, however,
may be routed to any address specified in the enrollee's profile in the
enrollment database 100.
The electronic message 210 includes text, a website link, and/or an audio file
that, when
executed or processed, informs the enrollee of the pending expiration time
124. The enrollee
is thus alerted to update her enrollment profile with a new nullifying
biometric 20. The
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enrollee, in other words, is encouraged to have a new nullifying biometric 20
applied to her
body.
[0050]
Exemplary embodiments may also include recycling, according to exemplary
embodiments. That is, exemplary embodiments may reuse nullifying biometrics
20. As the
reader may envision, there may only be a limited number of different designs
for the nullifying
biometric 20. Because each nullifying biometric 20 has a limited life of
enrollment, a small
set of different designs may adequately service a large population of
enrollees. Exemplary
embodiments may thus cycle through different nullifying biometrics 20 for each
enrollee.
Suppose, for example, the set of different designs contains or defines one
hundred (100)
members. These members may be randomly or sequentially chosen for enrollment
with any
enrollee. As any nullifying biometric 20 expires, exemplary embodiments may
automatically
select a different member in the set. In other words, months or years may pass
before the
nullifying biometric 20 is reused by the same enrollee. Moreover, as
enrollments automatically
expire based on time, the relatively small set of different designs may serve
millions of different
enrollees.
[0051] FIG. 19 is a flowchart illustrating a method for enrolling the
nullifying biometric 20,
according to exemplary embodiments. The nullifying biometric 20 is applied to
the enrollee's
body (Block 250). The enrollment image 86 of the nullifying biometric 20 is
captured (Block
252). The enrollment information 164 is entered (Block 254). The enrollment
image 86 and
the enrollment information 164 are sent to the enrollment database 100 (Block
256). Image
analysis is performed to translate the enrollment image 86 into the unique
alphanumeric
combination 96 (Block 258). The enrollment profile 124 is added to the
enrollment database
100 as the biometric template 104 (Block 260). The growth rate 40 is
determined (Block 262).
The life 122 and the expiration time 124 of the nullifying biometric 20 are
determined (Block
264).
[0052] FIG. 20
is a flowchart illustrating a method for authenticating and verifying an
identity, according to exemplary embodiments. The authentication image 110 is
captured
(Block 270). The server 80 receives the authentication image 110 with an
electronic request
for authentication (Block 272) Image analysis is performed to translate the
authentication
image 110 into the character string 112 (Block 274). The enrollment database
100 is queried
for the character string 112 (Block 276). If no match is determined (Block
278), authentication
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fails (Block 280). However, if a match is determined (Block 278), the
corresponding biometric
profile 124 is retrieved (Block 282). The life 122 and the expiration time 124
are determined
(Block 284) and compared to a current date and time (Block 286). If the
authentication
antedates (Block 288), authentication fails (Block 280). If authentication
predates (Block 288),
authentication may approve (Block 290).
[0053] FIG. 21 is a schematic illustrating still more exemplary embodiments.
FIG. 21 is a
more detailed diagram illustrating a processor-controlled device 400. As
earlier paragraphs
explained, the algorithm 92, the client-side algorithm 162, and/or the
software application 182
may partially or entirely operate in any mobile or stationary processor-
controlled device. FIG.
21, then, illustrates the algorithm 92, the client-side algorithm 162, and/or
the software
application 182 stored in a memory subsystem of the processor-controlled
device 400. One or
more processors communicate with the memory subsystem and execute either,
some, or all
applications. Because the processor-controlled device 400 is well known to
those of ordinary
skill in the art, no further explanation is needed.
[0054] FIG. 22 depicts other possible operating environments for additional
aspects of the
exemplary embodiments. FIG. 22 illustrates the algorithm 92, the client-side
algorithm 162,
and/or the software application 182 operating within various other processor-
controlled
devices 400. FIG. 22, for example, illustrates that the algorithm 92, the
client-side algorithm
162, and/or the software application 182 may entirely or partially operate
within a set-top box
("STB") (402), a personal/digital video recorder (PVR/DVR) 404, a Global
Positioning System
(GPS) device 408, an interactive television 410, or any computer system,
communications
device, or processor-controlled device utilizing any of the processors above
described and/or a
digital signal processor (DP/DSP) 414. Moreover, the processor-controlled
device 400 may
also include wearable devices (such as watches), radios, vehicle electronics,
clocks, printers,
gateways, mobile/implantable medical devices, and other apparatuses and
systems. Because
the architecture and operating principles of the various devices 400 are well
known, the
hardware and software componentry of the various devices 400 are not further
shown and
described.
[0055] FIGS. 23-26 are schematics further illustrating operating environments
for additional
aspects of the exemplary embodiments. FIG. 23 is a block diagram of a
Subscriber Identity
Module 500, while FIGS. 24 and 25 illustrate, respectively, the Subscriber
Identity Module
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500 embodied in a plug 502 and in a card 504. As those of ordinary skill in
the art recognize,
the Subscriber Identity Module 500 may be used in conjunction with many
communications
devices (such as the client device 160 and the mobile smartphone 180). The
Subscriber Identity
Module 500 stores user information (such as the user's International Mobile
Subscriber
Identity, the user's K, number, and other user information) and any portion of
the algorithm 92,
the client-side algorithm 162, and/or the software application 182. As those
of ordinary skill
in the art also recognize, the plug 502 and the card 504 each may physically
or wirelessly
interface with the mobile tablet computer 26 and the smartphone 412.
[0056] FIG. 23 is a block diagram of the Subscriber Identity Module 500,
whether embodied
as the plug 502 of FIG. 24 or as the card 504 of FIG. 25. Here the Subscriber
Identity Module
500 comprises a microprocessor 506 (R) communicating with memory modules 508
via a
data bus 510. The memory modules 508 may include Read Only Memory (ROM) 512,
Random Access Memory (RAM) and or flash memory 514, and Electrically Erasable-
Programmable Read Only Memory (EEPROM) 516. The Subscriber Identity Module 500

stores some or all of the algorithm 92, the client-side algorithm 162, and/or
the software
application 182 in one or more of the memory modules 508. FIG. 23 shows the
algorithm 92,
the client-side algorithm 162, and/or the software application 182 residing in
the Erasable-
Programmable Read Only Memory 516, yet either module may alternatively or
additionally
reside in the Read Only Memory 512 and/or the Random Access/Flash Memory 514.
An
Input/Output module 518 handles communication between the Subscriber Identity
Module 500
and the communications device. Because Subscriber Identity Modules are well
known in the
art, this patent will not further discuss the operation and the
physical/memory structure of the
Subscriber Identity Module 500.
[0057] FIG. 26 is a schematic further illustrating the operating environment,
according to
exemplary embodiments. FIG. 26 is a block diagram illustrating some
componentry of the
server 80, the client device 160, and/or the mobile smartphone 180. The
componentry may
include one or more radio transceiver units 552, an antenna 554, a digital
baseband chipset 556,
and a man/machine interface (MMI) 558. The transceiver unit 552 includes
transmitter
circuitry 560 and receiver circuitry 562 for receiving and transmitting radio-
frequency (RF)
signals. The transceiver unit 552 couples to the antenna 554 for converting
electrical current
to and from electromagnetic waves. The digital baseband chi pset 556 contains
a digital signal
processor (DSP) 564 and performs signal processing functions for audio (voice)
signals and
21
SUBSTITUTE SHEET (RULE 26)

CA 02992840 2018-01-17
WO 2017/040063 PCT/US2016/047705
RF signals. As FIG. 26 shows, the digital baseband chipset 556 may also
include an on-board
microprocessor 566 that interacts with the man/machine interface (MMI) 558.
The
man/machine interface (MMI) 558 may comprise a display device 568, a keypad
570, and the
Subscriber Identity Module 500. The on-board microprocessor 566 may also
interface with
the Subscriber Identity Module 500 and with the algorithm 92, the client-side
algorithm 162,
and/or the software application 182.
[0058] Exemplary embodiments may be applied to any signaling standard. As
those of
ordinary skill in the art recognize, FIGS. 23-26 may illustrate a Global
System for Mobile
(GSM) communications device. That is, exemplary embodiments may utilize the
Global
System for Mobile (GSM) communications signaling standard. Those of ordinary
skill in the
art, however, also recognize that exemplary embodiments are equally applicable
to any
communications device utilizing the Time Division Multiple Access signaling
standard, the
Code Division Multiple Access signaling standard, the "dual-mode" GSM-ANSI
Interoperability Team (GAIT) signaling standard, or any variant of the
GSM/CDMA/TDMA
signaling standard. Exemplary embodiments may also be applied to other
standards, such as
the I.E.E.E. 802 family of standards, the Industrial, Scientific, and Medical
band of the
electromagnetic spectrum, BLUETOOTH , and any other.
[0059] Exemplary embodiments may be physically embodied on or in a computer-
readable
storage medium. This computer-readable medium, for example, may include CD-
ROM, DVD,
tape, cassette, floppy disk, optical disk, memory card, memory drive, and
large-capacity disks.
This computer-readable medium, or media, could be distributed to end-
subscribers, licensees,
and assignees. A computer program product comprises processor-executable
instructions for
self-nullifying biometrics, as the above paragraphs explained.
[0060] While the exemplary embodiments have been described with respect to
various
features, aspects, and embodiments, those skilled and unskilled in the art
will recognize the
exemplary embodiments are not so limited. Other variations, modifications, and
alternative
embodiments may be made without departing from the spirit and scope of the
exemplary
embodiments.
22
SUBSTITUTE SHEET (RULE 26)

Representative Drawing
A single figure which represents the drawing illustrating the invention.
Administrative Status

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Administrative Status

Title Date
Forecasted Issue Date 2020-06-02
(86) PCT Filing Date 2016-08-19
(87) PCT Publication Date 2017-03-09
(85) National Entry 2018-01-17
Examination Requested 2018-01-17
(45) Issued 2020-06-02

Abandonment History

There is no abandonment history.

Maintenance Fee

Last Payment of $203.59 was received on 2022-07-13


 Upcoming maintenance fee amounts

Description Date Amount
Next Payment if small entity fee 2023-08-21 $100.00
Next Payment if standard fee 2023-08-21 $277.00

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Payment History

Fee Type Anniversary Year Due Date Amount Paid Paid Date
Request for Examination $800.00 2018-01-17
Application Fee $400.00 2018-01-17
Maintenance Fee - Application - New Act 2 2018-08-20 $100.00 2018-07-18
Maintenance Fee - Application - New Act 3 2019-08-19 $100.00 2019-07-18
Final Fee 2020-04-27 $300.00 2020-03-27
Maintenance Fee - Patent - New Act 4 2020-08-19 $100.00 2020-07-13
Maintenance Fee - Patent - New Act 5 2021-08-19 $204.00 2021-07-14
Maintenance Fee - Patent - New Act 6 2022-08-19 $203.59 2022-07-13
Owners on Record

Note: Records showing the ownership history in alphabetical order.

Current Owners on Record
AT&T INTELLECTUAL PROPERTY I, L.P.
Past Owners on Record
None
Past Owners that do not appear in the "Owners on Record" listing will appear in other documentation within the application.
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Document
Description 
Date
(yyyy-mm-dd) 
Number of pages   Size of Image (KB) 
Final Fee 2020-03-27 5 109
Representative Drawing 2020-05-07 1 6
Cover Page 2020-05-07 1 30
Abstract 2018-01-17 2 60
Claims 2018-01-17 3 108
Drawings 2018-01-17 25 533
Description 2018-01-17 22 1,275
Representative Drawing 2018-01-17 1 12
International Search Report 2018-01-17 2 48
National Entry Request 2018-01-17 3 76
Amendment 2018-02-21 2 64
Cover Page 2018-03-20 1 34
Amendment 2019-05-29 11 399
Examiner Requisition 2018-12-03 4 187
Description 2019-05-29 23 1,349
Claims 2019-05-29 4 141